TypeError: 'type' object is not subscriptable D:

TypeError: 'type' object is not subscriptable D:

Ah crap - this might be a backwards compatibility thing. If that's the case and we need to maintain compatibility with older versions of Python and that means we have to use Any, that's an okay justification.

Few more issues:

  File "/workspace/people-and-planet-ai/timeseries-classification/create_datasets.py", line 32, in <module>
    train_eval_split: list[int],
TypeError: 'type' object is not subscriptable

• 404 on models

Is the 404 error flaky? Or is it an actual error?

It looks like the Dataflow pipeline failed with File "train_model.py", line 129, in get_image NameError: name 'beam' is not defined [while running 'Get image-ptransform-59']. That's weird because we're passing save_main_session=True to the pipeline, so it should have all the imports (including beam).

It looks like there's some sort of exception on saving the global context for the Beam library itself. It looks like it's something that changed on a more recent version because it wasn't an issue before. Importing beam explicitly inside those functions seems to fix it.

It's not finding the AutoML model to do predictions. The model was a permanent resource and it somehow got deleted. I'm going to make a fallback so if it doesn't find the model in AutoML, it'll use a mock implementation to simply test that all methods are called correctly.